You, Jiaxuan
University of Illinois Urbana-Champaign
12 papers on CoChatORCID 0000-0003-1812-7598
Most cited papers
- Verified
On the Opportunities and Risks of Foundation Models
Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 2,676
- Verified
GNNExplainer: Generating Explanations for Graph Neural Networks
Ying, R., Bourgeois, D., You, J., Zitnik, M., & Leskovec, J. (2019) · arXiv
Explainable Artificial Intelligence (XAI)Advanced Graph Neural Networks
Cited by 850
- Verified
A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
Huang, W.-C., Zhang, W., Liang, Y., Bei, Y., Chen, Y., Feng, T., Pan, X., Tan, Z., Wang, Y., Wei, T., et al. (2026) · arXiv
AI-based Problem Solving and PlanningArtificial Intelligence Applications
Cited by 70
- Verified
Nemotron-4 340B Technical Report
Nvidia, :, Adler, B., Agarwal, N., Aithal, A., Anh, D. H., Bhattacharya, P., Brundyn, A., Casper, J., Catanzaro, B., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 66
- Verified
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Yu, Y., Ping, W., Liu, Z., Wang, B., You, J., Zhang, C., Shoeybi, M., & Catanzaro, B. (2024) · Advances in Neural Information Processing Systems 37
Topic ModelingInformation Retrieval and Search Behavior
Cited by 47
- Verified
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Liu, B., Li, X., Zhang, J., Wang, J., He, T., Hong, S., Liu, H., Zhang, S., Song, K., Zhu, K., et al. (2025) · arXiv
Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications
Cited by 16
- Verified
Nemotron-4 15B Technical Report
Parmar, J., Prabhumoye, S., Jennings, J., Patwary, M., Subramanian, S., Su, D., Zhu, C., Narayanan, D., Jhunjhunwala, A., Dattagupta, A., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 9
- Verified
Where LLM Agents Fail and How They can Learn From Failures
Zhu, K., Liu, Z., Li, B., Tian, M., Yang, Y., Zhang, J., Han, P., Xie, Q., Cui, F., Zhang, W., et al. (2025) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 4
- Verified
GraphRouter: A Graph-based Router for LLM Selections
Feng, T., Shen, Y., & You, J. (2024) · arXiv
Topic ModelingRecommender Systems and Techniques
Cited by 2
- Verified
SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?
Tian, M., Wang, Z., Tang, Z., Yang, B., Zhu, K., Dong, H., Li, H., Xie, X., Wang, G., & You, J. (2026) · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 1
- Verified
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Blakeman, A., Basant, A., Khattar, A., Renduchintala, A., Bercovich, A., Ficek, A., Bjorlin, A., Taghibakhshi, A., et al. (2025) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 0
- Verified
AcademicEval: Live Long-Context LLM Benchmark
Zhang, H., Feng, T., Han, P., & You, J. (2025) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 0
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